The classic Kaggle Titanic data science challenge
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Updated
Aug 5, 2017 - Python
The classic Kaggle Titanic data science challenge
scripted image transform. PoC
Device Agnostic Deep Learning Benchmark to compare the performance framework-wise, layer-wise, and model-wise.
A demonstration of perturbation of data
A micro WiFi class that supports the two LAN wireless interfaces (AP&STA) and manages many automatized methods, for MicroPython (used on Pycom modules & ESP32)
Deep Learning (Keras) Models Deployment using SQL databases
A Keras layer that acts as multiplexer for Dense layers (Tensorflow backend only)
Ιmplement a server application that will simultaneously manage multiple clients and facilitate the exchange of files between them. You will also need to implement a client application that will connect to the server and be able to perform some functions:
Layer to split input into tiles and stitch them back together.
Deep Learning (PyTorch) Models Deployment using SQL databases
Keras implementation of layer which performs augmentations of images using GPU.
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